USF-led innovations tackle cybersecurity and health challenges with early-stage funding
USF-led innovations tackle cybersecurity and health challenges with early-stage funding
Publish Date: 2026-05-04 08:41:00
Source Domain: www.usf.edu
Using an unordered list, summarize the following article with between 4 and 8 key points.
The Florida High Tech Corridor and USF Research continue to accelerate the translation of bold ideas into real-world impact through
the Early-Stage Innovation Fund, announcing a new cohort of faculty-led projects poised for commercialization. Designed
to support promising research at a critical inflection point, the program provides
up to $25,000 in seed funding to help advance technologies toward market readiness.
This round’s awardees showcase the depth and diversity of innovation across the university,
with solutions that span cybersecurity, optometry, women’s health and stroke rehabilitation.
Cloud-Based Hardware Security Training Platform (HaCKSEE)Principal Investigator: Associate Professor Robert KaramBellini College of Artificial Intelligence, Cybersecurity & Computing HaCKSEE is a cloud-based platform that lets students and professionals practice hardware
security techniques on real devices remotely, something not currently possible with
existing cybersecurity training tools. Its unique, affordable hardware boards and
centralized management system make hands-on hardware security education accessible
from anywhere. Funding will support the development of commercial infrastructure and
improved hardware design, helping move HaCKSEE from a research prototype to a scalable
product ready for widespread use. This investment will enable broader adoption in
the growing cybersecurity training market by making advanced hardware security training
more practical and widely available.
GlaucTest: AI-Powered Virtual Reality App That Brings the $15,000 Glaucoma Test to
Homes for $30Principal Investigator: Ramesh AyyalaEndowed Chair, College of Medicine OphthalmologyUSF Health Morsani College of MedicineGlaucTest™ is an affordable smartphone app that allows people to test for glaucoma at home using
a standard VR headset, offering accuracy comparable to expensive clinic equipment.
Its unique approach makes early glaucoma detection accessible to millions who currently
lack access to specialist care. Funding will support the development and validation
of an AI system that can automatically identify abnormal results, a key step toward
regulatory approval and widespread use. This project aims to make eye health monitoring
more comfortable, enjoyable, and available to those most at risk of preventable blindness.
Microbiome-Based Neuromodulatory Therapeutics Targeting the Gut-Vagus-Autonomic Axis
in Menopause-Associated Cardiovascular DysfunctionPrincipal Investigator: Jasenka ZubcevicAssociate Professor, Department of Neurosurgery, Brain and SpineUSF Health Morsani College of Medicine This project will accelerate development of a shelf-stable oral supplement based on
Akkermansia muciniphila, a beneficial gut bacterium with potential to support cardiovascular, cognitive and
sleep health in menopausal women. The innovation is a practical capsule formulation
that combines A. muciniphila with targeted fiber and metabolite end products to create a stable, scalable supplement
platform with commercial potential. Funding will support pilot-scale production and
testing to establish feasibility, stability and early proof of concept. These activities
are essential to reduce technical risk, generate translational data and position the
technology for follow-on funding, industry partnerships and future market development.
Remote Monitoring Sensor for Home-Based Stroke Walking Rehabilitation DevicePrincipal Investigator: Professor Kyle Reed, Department of Mechanical EngineeringCollege of Engineering The evergait Go™ is a wearable device that helps stroke survivors relearn to walk by using a unique,
battery-free wheel mechanism that attaches to the shoe, allowing effective rehabilitation
at home without clinic visits. The project aims to validate a built-in motion sensor
that tracks walking speed, step symmetry, and balance, making it possible for therapists
to monitor patients remotely and for clinics to bill insurance for remote care. Funding
will support sensor testing, data collection and clinical documentation, paving the
way for broader access, insurance coverage and improved patient outcomes.
